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Open-source framework for moving data between your data warehouse and cloud-based tools.

The Composable CDP: Sync your data warehouse to your business apps in real-time.

Census is a premier Reverse ETL and Composable Customer Data Platform (CDP) designed to bridge the gap between cloud data warehouses (like Snowflake, BigQuery, and Databricks) and operational business tools (Salesforce, HubSpot, Marketo). Unlike traditional CDPs that create data silos, Census utilizes the existing data warehouse as the single source of truth, enabling teams to build granular audience segments and sync customer data without writing custom API scripts. Its technical architecture focuses on reliability and observability, providing detailed sync logs, field-level mapping, and automated alerts. By 2026, Census has solidified its position in the market by integrating advanced AI-driven identity resolution and predictive modeling directly into the sync workflow. This allows organizations to not only move data but to enrich it in transit, ensuring that sales and marketing teams act on the most current, accurate, and high-priority signals. The platform's 'Infrastructure as Code' approach via Git integration and dbt support makes it the preferred choice for data engineers seeking to maintain governance while empowering business users with a no-code Audience Hub.
Census is a premier Reverse ETL and Composable Customer Data Platform (CDP) designed to bridge the gap between cloud data warehouses (like Snowflake, BigQuery, and Databricks) and operational business tools (Salesforce, HubSpot, Marketo).
Explore all tools that specialize in data integration. This domain focus ensures Census delivers optimized results for this specific requirement.
Explore all tools that specialize in automate data workflows. This domain focus ensures Census delivers optimized results for this specific requirement.
A no-code interface that allows non-technical users to build complex logic and segments on top of the data warehouse without SQL.
Native entity resolution to link disparate records (e.g., anonymous website traffic to known CRM leads) within the warehouse.
Uses Change Data Capture to detect changes in the warehouse and sync them to destinations in sub-second latency.
Sync configurations can be managed as code via GitHub or GitLab, allowing for version control and CI/CD workflows.
The ability to push sync metadata and status back into dbt models for better warehouse visibility.
Allows for the calculation of aggregates (e.g., Lifetime Value) directly within the Census UI during the sync process.
Maps multi-object relationships (e.g., Accounts to Opportunities) in one sync operation.
Connect your primary data warehouse (e.g., Snowflake, BigQuery, Redshift) using secure credentials or IAM roles.
Connect your first service destination (e.g., Salesforce, HubSpot) using OAuth or API keys.
Define your data source using the Visual Segment Builder, a raw SQL query, or by selecting a dbt model.
Create a 'Sync' by selecting the source data and the target object in the destination application.
Perform field-level mapping to align warehouse columns with destination fields.
Choose a unique identifier (Primary Key) to ensure data deduplication and record matching.
Configure the sync trigger: Manual, Scheduled (CRON), or Continuous (Real-time).
Run a 'Dry Run' or 'Test Sync' to validate data mapping without affecting production records.
Enable 'Alerting' via Slack or Email to be notified of sync failures or record rejection.
Activate the sync and monitor performance via the Census Observability dashboard.
All Set
Ready to go
Verified feedback from other users.
"Users praise Census for its reliability and the engineering-friendly approach to data syncing. The SQL-first mentality is highly valued by data teams."
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